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Bank Regulators Seeking Comments on the Use of AI and ML in the Industry

Perficient

fraud detection and financial crime monitoring). email, text, audio data), with the aim of identifying fraud or anomalous transactions. Personalization of Customer Services. One example is the use of chatbots to automate routine customer interactions, such as account opening activities and general customer inquiries.

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An Introduction: Generative AI Use Cases for the Financial Services Industry

Perficient

Generative AI ingests data and understands guidelines incredibly well; therefore, businesses across industries are jumping to take advantage of all the possible ways the tool can help save them money and create elevated, uber-personalized customer experiences.

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OCC Considers Artificial Intelligence an Emerging Risk in Banking

Perficient

This blog was co-authored by: Ashley Simmons In conversations with financial services executives, Perficient consultants consistently delve into the application and usage of artificial intelligence (AI) within the industry. A pivotal aspect of this conversation revolves around the regulatory perspective toward AI.

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AI and generative AI use cases in banking: 6 real-world examples

Abrigo

You might also like this webinar, "The check's in the mail: Understanding and preventing check fraud." WATCH Takeaway 1 Understanding generative AI and how peers are using AI and genAI helps financial institution leaders and management vet the technology and related risks. Introduce key takeaway below. This short be 2 lines max.

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Geolocation Puts A Pin In Anti-Fraud Solutions

PYMNTS

With digital transactions and eCommerce soaring during the pandemic, the rate of increasingly sophisticated fraud has also risen. With it, financial institutions need to strengthen their compliance to mitigate the risk of running afoul of the law. Can you really know your customer if you don’t know their location?”

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10 Lessons We Learned at the Nacha Smarter Faster Payment Conference

South State Correspondent

The major themes of fraud, artificial intelligence (AI), expansion of instant payments, open banking, and regulation were particularly relevant to your roles as executives, risk managers, compliance officers, and technology leaders. Each type of financial crime has a specific profile.

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Sift Science Eyes Global Fraud Prevention With $53M In Funding

PYMNTS

Fraud detection startup Sift Science has raised $53 million in a series D round, bringing its total amount raised to $107 million. Founded in 2011, Sift Science plans to use this latest round of funding to grow its fraud detection and prevention product globally. Clients include Twitter, Airbnb, Twilio, Instacart, Zillow and Yelp.

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